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2,001 results for “x-rays”
High-resolution X-ray diffraction dataset for the coiled-coil oligomerisation domain of human Arc
<p>0.95-Å resolution diffraction dataset for the crystal structure of human Arc coiled-coil dimerisation domain (PDB entry 6YTU). Data were collected on beamline P13 at EMBL/DESY (Hamburg, Germany). </p>
Deep Learning for X-ray Tomography
<p>Dataset for thesis: "Deep learning for X-ray Tomography"</p> <p>Contains:</p> <p>-rawdata: 1d tiff from CT scan</p> <p>-sirt_data: Reconstructions made from SIRT algorithm.</p> <p>-fbp_data: Reconstructions made from FBP algorithm.</p> <p>Reconstructed files have names</p> <p><shift>rec<cross section number>.tiff</p>
Data of "Accuracy of predicting chemical body composition of growing pigs by dual-energy X-ray absorptiometry"
<p>Data set for article "Accuracy of predicting chemical body composition of growing pigs by dual-energy X-ray absorptiometry" (DOI). Data set of Swiss Large White entire male pigs for nutrient composition (water, lipid, N, ash, Ca and P) determined by wet-chemistry and body composition (lean mass, body mineral content and fat tissue mass) by dual-energy X-ray absorptiometry (DXA) in the empty body of live pigs and (N=61) in pig carcasses (N=68) within a body weight range from 20 to 100 kg.</p> <p><strong>metadata.xlsx</strong>: description of variables in the data sets</p> <p><strong>emptybody.txt</strong>: corresponds to contents of the empty body at slaughter (three days after DXA live scans) and DXA live scans</p> <p><strong>Carcass.txt</strong>: corresponds to carcass contents and DXA carcass scans on the day of slaughter</p> <p> </p>
Supplementary material for manuscript: Microcomputed X-ray Tomographic Imaging and Image Processing for Microstructural Characterization of Explosives
<p>This data contains the supplemental information that will be accessible to the public from the paper “Microcomputed X-ray Tomographic Imaging and Image Processing for Microstructural Characterization of Explosives”. The data set contains the reconstructed slices for the 3D images of three different high explosives including: HMX-HTPB, PBX 9501 and PBX 9502. The data sets are folders of reconstructed tiffs showing the microstructure (crystals, binder, voids) and a segmented data set of each. Finally, a .gif movie is also present that plays the slices sequentially. The folders contain the voxel size information. See the manuscript for more details.</p>
Long Timescale X-ray Variability of BAL and mini-BAL quasars
<p>Serendipitous and targeted <em>Chandra</em> observations of BAL and mini-BAL quasars identified in SDSS DR16Q. This data set contains 293 observations of 93 BAL and mini-BAL quasars. This data accompanies the research note: Timlin, J., Brandt, W.N., Zhu, S. (2020), RNASS, in press.</p>
Data for "Photon-recoil Imaging: Expanding the view of nonlinear x-ray physics"
<p>Datasets for the figures presented in the main manuscript of the publication "Photon-recoil Imaging: Expanding the view of nonlinear x-ray physics" .</p> <p>The dataset Fig2A-red-dots.dat represents also the red dots data in Figure 3A. </p> <p>Fig2B-data.dat and Fig2C-data.dat contain histogram data with each entry (line) representing the coordinates (x,y) in mm on the detector where a corresponding Ne* atom was detected.<br> With these data Fig 2B and 2C of the publication can be reproduced by using the Wolfram Mathematica command lines:</p> <p>Test855 = Import["Fig2C-data.dat"]<br> DensityHistogram[Test855, {100, 100},<br> PlotRange -> {{-10, 5}, {0, 25}},<br> ColorFunction -> ColorData[{"SolarColors", "Reverse"}],<br> AspectRatio -> 5/3,(* Background\[Rule]LightGreen,*)<br> FrameTicksStyle -> Directive[Black, 20], ChartLegends -> Automatic]</p> <p>All other data sets contain the data points of the corresponding figure of the publication, with the first entry in each line representing the x- and the second one the y-coordinate value and, where applicable the error bar.</p>
Characteristics of Jupiter's X-ray auroral hot spot emissions using Chandra
<p>The data used in Weigt et al., study <em>"Characteristics of Jupiter's X-ray auroral hot spot emissions using Chandra"</em>. The README.pdf explains what data is used to produce each Figure in the article with links to the Chandra archive and scripts used for the polar plots.</p>
X-ray images for crystal of a protein DegT/DnrJ/EryC1/StrS family aminotransferase from Archaeoglobus veneficus
<p>X-ray images for sugar transaminase from Archaeoglobus venficus</p> <p>PDB code 7B0D</p>
Supplementary data for the manuscript "Aqueous phase behavior of glyoxal and methylglyoxal observed with carbon and oxygen K-edge X-ray absorption spectroscopy".
<p>XAS carbon and oxygen K-edge measurements of aqueous solutions of glyoxal and methylglyoxal and their mixtures with sodium chloride and ammonium sulfate. XAS oxygen K-edge measurements of aqueous glycerol and mixtures with the above-mentioned inorganic salts.</p>
Data from: Reconstruction of the multielement apparatus of the earliest Triassic conodont, Hindeodus parvus, using synchrotron radiation X-ray micro-tomography
Earliest Triassic natural conodont assemblages preserved as impressions on bedding planes occur in a claystone of the Hashikadani Formation, which is part of the Mino Terrane, a Jurassic accretionary complex in Japan. In this study, the apparatus of Hindeodus parvus is reconstructed using synchrotron radiation micro-tomography (SR–μCT). This species has six kinds of elements disposed in 15 positions forming the conodont apparatus. Carminiscaphate, angulate, and makellate forms are settled in pairs in the P1, P2, and M positions, respectively. The single alate element is correlated with the S0 position. The S array is a cluster of eight ramiforms, subdivided into two inner pairs of digyrate S1–2 and two outer pairs of bipennate S3–4 elements. The reconstruction is similar to a well-known ozarkodinid apparatus model. In addition, the μCT images show that the 'anterior' and 'posterior' processes of the S1–2 elements faced the caudal and rostral ends of the living conodont body, respectively.
The input files and associated data products for "Modeling High Mass X-ray Binaries to Double Neutron Stars through Common Envelope Evolution"
<p>Simulations were made using the version 12115 of the MESA code together with the x86_64-linux-20190830 MESA SDK. "template.zip" provides the MESA inlist files to reproduce our simulations. "CE_1.zip" provides our simulated results for a grid of binary systems with common envelope ejection efficiencies set to be 1.0. Different folders indicate the binary systems with different initial parameters. Inside each folder information can be found for binary properties in the "history.data" file. Each folder also contains the "result.txt" file with the terminal output of the simulation. "CE_3.zip", "CE_0.3.zip" and "CE_0.1.zip" are the same as "CE_1.zip" but with common envelope ejection efficiencies set to be 3.0, 0.3 and 0.1, respectively.</p>
Data and materials for "Crystallization kinetics of atomic crystals revealed by a single-shot and single-particle X-ray diffraction experiment"
<p>XFEL diffraction data and simulation codes associated with publication "Crystallization kinetics of atomic crystals revealed by a single-shot and single-particle X-ray diffraction experiment" (https://doi.org/10.1073/pnas.2111747118). <a href="https://zenodo.org/api/files/6b7e2270-da94-43ea-8cb7-24db901d6d47/Fig1A.txt?versionId=22020722-9489-427b-b2a3-8a5577542679">Fig1A.txt</a> is the 2D array data of the accumulated diffraction image. <a href="https://zenodo.org/api/files/6b7e2270-da94-43ea-8cb7-24db901d6d47/Fig2A.txt?versionId=f53f0a51-20f0-4aaa-b2f3-7ac284e5a39a">Fig2A.txt</a>, <a href="https://zenodo.org/api/files/6b7e2270-da94-43ea-8cb7-24db901d6d47/Fig2B.txt?versionId=a7a31743-446f-4b60-84fc-8d06383bd852">Fig2B.txt</a>, <a href="https://zenodo.org/api/files/6b7e2270-da94-43ea-8cb7-24db901d6d47/Fig2C.txt?versionId=d79d2068-2530-4ee6-95fc-b38b4ee8bda5">Fig2C.txt</a> are the 2D arrays of the single-shot diffraction images. The unit is electronvolt per pixel. <a href="https://zenodo.org/api/files/6b7e2270-da94-43ea-8cb7-24db901d6d47/Python%20script.ipynb">Python script.ipynb</a> includes the simulation codes for the single-shot streak patterns and the integrated powder diffraction pattern. </p>
Data and code availability for "Ice Nucleation Imaged with X-ray Spectro-Microscopy"
<p>Data and code availability for the article titled, "Ice Nucleation Imaged with X-ray Spectro-Microscopy" by Alpert et al. published in the journal Environmental Science: Atmospheres.</p>
Biomonitoring of Environmental Pollution: An Exploratory Investigation Using Mosses and X-Ray Fluorescence(XRF) Spectroscopy
<p>Raw data and voucher information used for a study</p>
X-ray observations of black hole binary Cyg X-1 with INTEGRAL
<p>This data set contains the extracted energy spectrum, corresponding response matrix, and light curve fits files obtained with the INTEGRAL Soft Gamma-Ray Imager (ISGRI, 30–80 keV) instrument aboard the INTErnational Gamma-Ray Astrophysics Laboratory (INTEGRAL) space telescope. The data were collected over three observing periods during the week 2022 May 15-20. </p>
X-ray data for 4, 8-dithiatricyclo[7.2.1.0^(3,10)]dodecane
<p>The crystal structure of 4, 8-dithiatricyclo[7.2.1.0<sup>3,10</sup>]dodecane was obtained. The structure was solved by direct methods. A total of 9 atoms were located from the E-map. The remaining atoms were located in succeeding difference Fourier syntheses. Hydrogen atoms were included in the refinement but restrained to ride on the atom to which they are bonded.</p>
Reference-free X-ray fluorescence analysis using well-known polychromatic synchrotron radiation - Dataset
<p>The files contain the data corresponding to Fig 4d of the manuscript, i.e. the normalized count rate for different photon energies in keV.<br>Fig 4: Theoretical emission spectra of the sample. These spectra are based on different excitation spectra for a 4 µm thick titanium foil and are normalized to the titanium Ka line for better comparability. All of these spectra are based on typical experimental conditions.</p> <p><br>The files contain the data corresponding to Fig 5 of the manuscript, i.e. the count rate in 1/s for different photon energies in keV.<br>Fig 5: Experimental spectra of the 4 µm titanium sample. Negligible signal from the steel sample holder is visible as indicated in the figures (mainly Cr, Mn, Fe, Ni, Cu). The escape peak associated with the titanium K lines (esc.) and the elastic Rayleigh scattering peak (E0) are also indicated.</p> <p> </p>
Electronic structure fingerprints of nickel-cobalt-manganese oxide from x-ray spectroscopy and high-throughput ab initio calculations
<p>AiiDA archives of the calculations presented in the paper "Electronic structure fingerprints of nickel-cobalt-manganese oxide from x-ray spectroscopy and high-throughput <em>ab initio</em> calculations".</p> <p> </p> <ul> <li>structures_and_general_info.aiida: The "EnumlibCalcJob" to generate the structural candidates, the resulting initial structures and AiiDA "Dict" nodes containing the mapping of the different steps (via their corresponding <em>uuid</em>) to each structure.</li> <li>pre_optimization.aiida: The relevant calculations to perform the pre-relaxation.</li> <li>optimization.aiida: The relevant calculations to perform the final structural optimization.</li> <li>electronic_structure.aiida: The bandstructure and DOS/PDOS calculations. All preliminary calculations such as SCF and NSCF calculations to obtain the eigenvalues are included as well.</li> </ul> <p>Finally, the Pandas DataFrame containing the PDOS for each site of all the structures (resolved into orbital and spin contributions) which builds the foundation for the presented analysis is stored in the `pickle` format in `pdos_all.pckl`.</p>
X-ray diffraction images for coenzyme F420H2 oxidase (FprA) from M. thermolithotrophicus.
<p>Anomalous data collected at ESRF (Grenoble, France) using beamline ID23-1. The crystal (Crystal form 2) was in the presence of the crystallophore Tb-Xo4.</p> <p> </p> <p>Related Publication: Engilberge et al. (2019)</p> <p> </p>
X-ray Diffraction Data Investigating Charge Density Waves in CsV3Sb5
<h1>## Description of DFXM data on CsV3Sb5 collected at 6 ID-C of the Advanced Photon Source of Argonne National Lab ##</h1> <h2>Overview</h2> <p>This repository contains darkfield X-ray microscopy images of CsV3Sb5 collected at the (1/2 1/2 1/4), (1/2 1/2 1/2), (1 1 2), and (2 2 0) Bragg peaks. The experiment was conducted at Sector 6-ID-C of the Advanced Photon Source (APS) at Argonne National Laboratory in March of 2023. <br>Corresponding APS beamline scientist: Zahir Islam</p> <h1># Data Structure</h1> <p>The data is labeled with a prefix to establish the author, experiment type, and experiment date:</p> <p> JPlumb-DFXM-Mar2023</p> <p>Within each experimental folder, there are several subdirectories that contain relevant experimental files:</p> <p> "data" Folder:<br> Contains subfolders labeled by scan numbers in the format S### (e.g., S001, S002).<br> Raw data is collected and stored as 16-bit grayscale TIFF images.<br> Each scan represents either a single rocking curve imaging (RCI) scan, with a stack of images that were taken at various theta positions for a given sample location and two theta Bragg angle, or a time series scan that contains a stack of images taken over time, at a static theta position, and with variying sample temperature. <br> See Scan Group description below to learn which type of scan each folder represents.</p> <p> "logs" Folder:<br> Contains experimental logbooks.</p> <p> "structureFiles" Folder:<br> Contains .cif files with lattice parameters of different material structures (alpha and beta phases of NaMnO2).</p> <p> "referenceImages" Folder:<br> Includes optical microscope images of the sample in the as-measured state for reference.</p> <p> "motors" Folder:<br> Contains CSV files corresponding to each scan folder. These files include motor positions (theta, two-theta, XYZ) and other relevant experimental parameters.</p> <p> "scripts" Folder:<br> Contains basic analysis scripts for different scan groupings. Scans are grouped based on similarities and the intent behind their measurements.</p> <p> "cryostatData" Folder:<br> Contains data from the cryostat, recording sample temperature at various times throughout the experiment.</p> <p> "results" Folder:<br> Contains pre-processed maximum intensity projection images for each scan, providing a quick overview of the collected data.</p> <p>December 2023 Experiment<br>Scan Groups</p> <p>Scan Group A:<br> hkl - (0.5, 0.5, 0.25)<br> # of Scans - 1<br> Scan #s - 1<br> Temperature - 3.2 K<br> Exposure Time - 10 seconds<br> X-ray Energy - 20 keV<br> Total Magnification - 26x<br> Effective Pixel Size - 2.115 um/pixel<br> Description - Single scan used for quick code testing.</p> <p>Scan Group B:<br> hkl - (0.5, 0.5, 0.25)<br> # of Scans - 121<br> Scan #s - 1 to 121<br> Temperature - 3.2 K<br> Exposure Time - 10 seconds<br> X-ray Energy - 20 keV<br> Total Magnification - 26x<br> Effective Pixel Size - 2.115 um/pixel<br> Description - 0.25L peak RCI scans collected over an array of sample locations </p> <p>Scan Group C:<br> hkl - (0.5, 0.5, 0.5)<br> # of Scans - 121<br> Scan #s - 122 to 242<br> Temperature - 3.2 K<br> Exposure Time - 10 seconds<br> X-ray Energy - 20 keV<br> Total Magnification - 26x<br> Effective Pixel Size - 2.115 um/pixel<br> Description - 0.5L peak RCI scans collected over an array of sample locations</p> <p>Scan Group D:<br> hkl - (1, 1, 2)<br> # of Scans - 1<br> Scan #s - 243<br> Temperature - 3.2 K<br> Exposure Time - 25 seconds<br> X-ray Energy - 20 keV<br> Total Magnification - 130x<br> Effective Pixel Size - 0.050 um/pixel<br> Description - High-resolution, fine RCI of structural peak</p> <p>Scan Group E:<br> hkl - (2, 2, 0)<br> # of Scans - 1<br> Scan #s - 244<br> Temperature - 3.2 K<br> Exposure Time - 5 seconds<br> X-ray Energy - 22 keV<br> Total Magnification - 130x<br> Effective Pixel Size - 0.050 um/pixel<br> Description - High-resolution, fine RCI of structural peak</p> <p>Scan Group F:<br> hkl - (2, 2, 0)<br> # of Scans - 3<br> Scan #s - 245 to 247<br> Temperature - 3.2 K<br> Exposure Time - 5 seconds<br> X-ray Energy - 22 keV<br> Total Magnification - 130x<br> Effective Pixel Size - 0.050 um/pixel<br> Description - Coarse RCI of structural peak taken at 3 x positions at 3.2 K</p> <p>Scan Group G:<br> hkl - (2, 2, 0)<br> # of Scans - 3<br> Scan #s - 248 to 250<br> Temperature - 87 K<br> Exposure Time - 5 seconds<br> X-ray Energy - 22 keV<br> Total Magnification - 130x<br> Effective Pixel Size - 0.050 um/pixel<br> Description - Coarse RCI of structural peak taken at 3 x positions at 87 K</p> <p>Scan Group H:<br> hkl - (2, 2, 0)<br> # of Scans - 3<br> Scan #s - 251 to 253<br> Temperature - 120 K<br> Exposure Time - 5 seconds<br> X-ray Energy - 22 keV<br> Total Magnification - 130x<br> Effective Pixel Size - 0.050 um/pixel<br> Description - Coarse RCI of structural peak taken at 3 x positions at 120 K</p> <p>Scan Group I:<br> hkl - (2, 2, 0)<br> # of Scans - 6<br> Scan #s - 254 to 259<br> Temperature - 93 K, 94 K, 94.1 K, 94.2 K, 94.3 K, 94.4 K<br> Exposure Time - 5 seconds<br> X-ray Energy - 22 keV<br> Total Magnification - 130x<br> Effective Pixel Size - 0.050 um/pixel<br> Description - Coarse RCI taken at various temperatures through the transition (warming)</p> <p>Scan Group J:<br> hkl - (2, 2, 0)<br> # of Scans - 1<br> Scan #s - <br> Temperature - <br> Exposure Time - 5 seconds<br> X-ray Energy - 22 keV<br> Total Magnification - 130x<br> Effective Pixel Size - 0.050 um/pixel<br> Description - Static theta images taken continuously during warming from 89.4 K and up</p> <p>Scan Group K:<br> hkl - (2, 2, 0)<br> # of Scans - 1<br> Scan #s - <br> Temperature - <br> Exposure Time - 5 seconds<br> X-ray Energy - 22 keV<br> Total Magnification - 130x<br> Effective Pixel Size - 0.050 um/pixel<br> Description - Static theta images taken continuously during warming from 96 K and up</p> <p>Scan Group L:<br> hkl - (2, 2, 0)<br> # of Scans - 1<br> Scan #s - <br> Temperature - <br> Exposure Time - 5 seconds<br> X-ray Energy - 22 keV<br> Total Magnification - 130x<br> Effective Pixel Size - 0.050 um/pixel<br> Description - Static theta images taken continuously during warming from 126 K and up</p> <h2># Data Processing and Analysis</h2> <p>Standard DFXM data processing involves fitting a Gaussian curve to the theta-dependent intensity curve of each pixel in a rocking curve imaging scan. Plotting various gaussian fit parameters for each pixel creates parameter maps that highlight different sources of contrast.</p> <p>Basic analysis scripts (ex. MR23_SGA_basicAnalysis.py) are included for all scan groups in this repository. All analysis is done in Python 3, using various free packages and self-defined scripts are stored in a sub folder named DiffractionMaster. The code is updated as of June 2024.</p> <h2># Contact Information</h2> <p>For any questions or further information, please contact:</p> <p> Jayden C. Plumb: jaydencplumb@gmail.com</p> <p>This dataset and associated documentation are part of research conducted at the Advanced Photon Source, Argonne National Laboratory and funded through the National Science Foundation and Department of Energy and under the supervision of host institution UC Santa Barbara. Please cite appropriately if used in your work.</p> <p> </p> <h1>## Description of HDRM data on CsV3Sb5 collected at ID4B QM2 of the Cornell High Energy Synchrotron Source ##</h1> <h2>Overview</h2> <p>This repository also contains high dynamic range mapping analysis data of CsV3Sb5 collected in the 35 K to 300 K range at different cooling rates. The experiment was conducted at the QM2 beamline of the Cornell High Energy Synchrotron Source (CHESS) in February of 2023. Corresponding CHESS beamline scientist: Suchi Sarker.<br>X-TEC machine learning algorithm was perform by Krishnanand Mallayya. Magnetic characterization accompaning the diffraction data on three samples of the batch was performed by Andrea Capa Salinas at the Materials Research Lab's Low Temperature facilities at UC Santa Barbara.<br><br></p> <h1># Data structure and analysis</h1> <p>"HDRM_Repository_Data" folder contains both: X-TEC analysis of HDRM data, and magnetization data.</p> <p>.txt files have the naming:</p> <p>"CrystalX_Fast/Slow_cool_CDW" and correspond to X-TEC analysis data with straightforward naming. Each can have up to four columns. Column objects are:</p> <p>T (K): Temperature<br>2x2x2: Cluster average intensity for a half-type peaks whose average intensity tracks a similar temperature-dependent trajectory<br>2x2x2+2x2x4: Cluster average intensity for a half-type peaks mixed with quarter-type peaks whose average intensity tracks a similar temperature-dependent trajectory.</p> <p>.dat files have the naming:</p> <p>"GP-CVS-1-X-mass(mg)_FC/ZFC-field(Oe)" and have the standard Quantum Design MPMS3 data file format. We extract "Temperature (K)", "Magnetic Field (Oe)" and "Moment (emu)" to calculate magnetic susceptibility and volumetric susceptibility of three samples in the batch used for HDRM and DFXM experiments.</p>
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OpenNeuro
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